Two fixes to the subagent progress display from PR #186:
1. Task index prefix: show 1-indexed prefix ([1], [2], ...) for ALL
tasks in batch mode (task_count > 1). Single tasks get no prefix.
Previously task 0 had no prefix while others did, making batch
output confusing.
2. Completion indicator: use spinner.print_above() instead of raw
print() for per-task completion lines (✓ [1/2] ...). Raw print
collided with the active spinner, mushing the completion text
onto the spinner line. Now prints cleanly above.
Added task_count parameter to _build_child_progress_callback and
_run_single_child. Updated tests accordingly.
print_above() used \033[K (erase-to-end-of-line) to clear the spinner
line before printing text above it. This causes garbled escape codes when
prompt_toolkit's patch_stdout is active in CLI mode.
Switched to the same spaces-based clearing approach used by stop() —
overwrite with blanks, then carriage return back to start of line.
Updated test assertion to match the new clearing method.
When subagents run via delegate_task, the user now sees real-time
progress instead of silence:
CLI: tree-view activity lines print above the delegation spinner
🔀 Delegating: research quantum computing
├─ 💭 "I'll search for papers first..."
├─ 🔍 web_search "quantum computing"
├─ 📖 read_file "paper.pdf"
└─ ⠹ working... (18.2s)
Gateway (Telegram/Discord): batched progress summaries sent every
5 tool calls to avoid message spam. Remaining tools flushed on
subagent completion.
Changes:
- agent/display.py: add KawaiiSpinner.print_above() to print
status lines above an active spinner without disrupting animation.
Uses captured stdout (self._out) so it works inside the child's
redirect_stdout(devnull).
- tools/delegate_tool.py: add _build_child_progress_callback()
that creates a per-child callback relaying tool calls and
thinking events to the parent's spinner (CLI) or progress
queue (gateway). Each child gets its own callback instance,
so parallel subagents don't share state. Includes _flush()
for gateway batch completion.
- run_agent.py: fire tool_progress_callback with '_thinking'
event when the model produces text content. Guarded by
_delegate_depth > 0 so only subagents fire this (prevents
gateway spam from main agent). REASONING_SCRATCHPAD/think/
reasoning XML tags are stripped before display.
Tests: 21 new tests covering print_above, callback builder,
thinking relay, SCRATCHPAD filtering, batching, flush, thread
isolation, delegate_depth guard, and prefix handling.
- Introduce a new test suite in `test_file_tools_live.py` to validate file operations and ensure accurate command execution in a real environment.
- Implement assertions to check for shell noise contamination in outputs, enhancing the reliability of command results.
- Create fixtures for setting up a local environment and populating directories with known file contents for comprehensive testing.
- Refactor shell noise handling in `process_registry.py` and `local.py` to support multiple noise patterns, improving output cleanliness.
- Introduce a new test suite for the `redact_sensitive_text` function, covering various sensitive data formats including API keys, tokens, and environment variables.
- Ensure that sensitive information is properly masked in logs and outputs while non-sensitive data remains unchanged.
- Add tests for different scenarios including JSON fields, authorization headers, and environment variable assignments.
- Implement a redacting formatter for logging to enhance security during log output.
- Enhanced Codex model discovery by fetching available models from the API, with fallback to local cache and defaults.
- Updated the context compressor's summary target tokens to 2500 for improved performance.
- Added external credential detection for Codex CLI to streamline authentication.
- Refactored various components to ensure consistent handling of authentication and model selection across the application.
Fixes#160
The issue was that MEDIA tags were being extracted from ALL messages
in the conversation history, not just messages from the current turn.
This caused TTS voice messages generated in earlier turns to be
re-attached to every subsequent reply.
The fix:
- Track history_len before calling run_conversation
- Only scan messages AFTER history_len for MEDIA tags
- Add comprehensive tests to prevent regression
This ensures each voice message is sent exactly once, when it's
generated, not on every subsequent message in the session.
The 413 "Request Entity Too Large" error from the LLM API was caught by the
generic 4xx handler which aborts immediately. This is wrong for 413 — it's a
payload-size issue that can be resolved by compressing conversation history.
- Intercept 413 before the generic 4xx block and route to _compress_context
- Exclude 413 from generic is_client_error detection
- Add 'request entity too large' to context-length phrases as safety net
- Add tests for 413 compression behavior
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Sanitize filenames in cache_document_from_bytes to prevent path traversal (strip directory components, null bytes, resolve check)
- Reject documents with None file_size instead of silently allowing download
- Cap text file injection at 100 KB to prevent oversized prompt payloads
- Sanitize display_name in run.py context notes to block prompt injection via filenames
- Add 35 unit tests covering document cache utilities and Telegram document handling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add 15 new tests in two classes:
- TestRmFalsePositiveFix (8 tests): verify filenames starting with 'r'
(readme.txt, requirements.txt, report.csv, etc.) are NOT falsely
flagged as 'recursive delete'
- TestRmRecursiveFlagVariants (7 tests): verify all recursive delete
flag styles (-r, -rf, -rfv, -fr, -irf, --recursive, sudo rm -rf)
are still correctly caught
All 29 tests pass (14 existing + 15 new).
The regex `ignore\s+(previous|all|above|prior)\s+instructions` only
allowed ONE word between "ignore" and "instructions". Multi-word
variants like "Ignore ALL prior instructions" bypassed the scanner
because "ALL" matched the alternation but then `\s+instructions`
failed to match "prior".
Fix: use `(?:\w+\s+)*` groups to allow optional extra words before
and after the keyword alternation.
Cover model_tools, toolset_distributions, context_compressor,
prompt_caching, cronjob_tools, session_search, process_registry,
and cron/scheduler with 127 new test cases.
These tests documented the macOS symlink bypass bug with
platform-conditional assertions. The fix and proper regression
tests are in PR #61 (tests/tools/test_write_deny.py), so remove
them here to avoid ordering conflicts between the two PRs.
On macOS, /etc is a symlink to /private/etc. The _is_write_denied()
function resolves the input path with os.path.realpath() but the deny
list entries were stored as literal strings ("/etc/shadow"). This meant
the resolved path "/private/etc/shadow" never matched, allowing writes
to sensitive system files on macOS.
Fix: Apply os.path.realpath() to deny list entries at module load time
so both sides of the comparison use resolved paths.
Adds 19 regression tests in tests/tools/test_write_deny.py.
- Renamed test method for clarity and added comprehensive tests for `SessionSource` including handling of numeric `chat_id`, missing optional fields, and invalid platforms.
- Introduced tests for session source descriptions based on chat types and names, ensuring accurate representation in prompts.
- Improved file tools tests by validating schema structures, ensuring no duplicate model IDs, and enhancing error handling in file operations.
- Introduced a new `_cleanup_test_artifacts` function to remove test-generated files and directories after test execution.
- Integrated the cleanup function into the `test_current_implementation` and `test_interruption_and_resume` tests to ensure proper resource management and prevent clutter from leftover files.
- Replaced the Nous API key check with the Auxiliary Model check in the WebToolsTester class.
- Updated the environment configuration to reflect the change in API key validation, ensuring accurate reporting of available keys.
- Introduced a shared interrupt signaling mechanism to allow tools to check for user interrupts during long-running operations.
- Updated the AIAgent to handle interrupts more effectively, ensuring in-progress tool calls are canceled and multiple interrupt messages are combined into one prompt.
- Enhanced the CLI configuration to include container resource limits (CPU, memory, disk) and persistence options for Docker, Singularity, and Modal environments.
- Improved documentation to clarify interrupt behaviors and container resource settings, providing users with better guidance on configuration and usage.
- Deleted test scripts for Nous API limits, patterns, and temperature checks to streamline the testing suite.
- These scripts were no longer necessary and their removal helps maintain a cleaner codebase.
- Introduced the `delegate_task` tool, allowing the main agent to spawn child AIAgent instances with isolated context for complex tasks.
- Supported both single-task and batch processing (up to 3 concurrent tasks) to enhance task management capabilities.
- Updated configuration options for delegation, including maximum iterations and default toolsets for subagents.
- Enhanced documentation to provide clear guidance on using the delegation feature and its configuration.
- Added comprehensive tests to ensure the functionality and reliability of the delegation logic.
- Introduced a new `execute_code` tool that allows the agent to run Python scripts that call Hermes tools via RPC, reducing the number of round trips required for tool interactions.
- Added configuration options for timeout and maximum tool calls in the sandbox environment.
- Updated the toolset definitions to include the new code execution capabilities, ensuring integration across platforms.
- Implemented comprehensive tests for the code execution sandbox, covering various scenarios including tool call limits and error handling.
- Enhanced the CLI and documentation to reflect the new functionality, providing users with clear guidance on using the code execution tool.
- Introduced new browser automation tools in `browser_tool.py` for navigating, interacting with, and extracting content from web pages using the agent-browser CLI and Browserbase cloud execution.
- Updated `.env.example` to include new configuration options for Browserbase API keys and session settings.
- Enhanced `model_tools.py` and `toolsets.py` to integrate browser tools into the existing tool framework, ensuring consistent access across toolsets.
- Updated `README.md` with setup instructions for browser tools and their usage examples.
- Added new test script `test_modal_terminal.py` to validate Modal terminal backend functionality.
- Improved `run_agent.py` to support browser tool integration and logging enhancements for better tracking of API responses.